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Adapting the generator/discriminator paradigm from GANs to refine LLM prompts. Is an excellent prompt with GPT-3.5 better than an average prompt with GPT-4o?

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walkerhughes/Generative-Adversarial-Prompt-Engineering

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Generative-Adversarial-Prompt-Engineering

goal

  1. borrow generator/discriminator paradigm from GANs to refine prompts used in LLMs

investigations

  1. iteratively refine prompts
  2. get model to derive what prompt generated the output

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Adapting the generator/discriminator paradigm from GANs to refine LLM prompts. Is an excellent prompt with GPT-3.5 better than an average prompt with GPT-4o?

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